Papers with center event-aware graph

1 papers
Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning (2024.findings-emnlp)

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Challenge: Emotion-Cause Pair Extraction in Conversations (ECPEC) aims to identify emotion utterances and their corresponding cause utterrances in unannotated conversations.
Approach: They propose a new method to identify emotion utterances and their corresponding cause utterrances in unannotated conversations by using a center event-aware graph.
Outcome: The proposed model outperforms existing methods and achieves state-of-the-art performance across three benchmark datasets.

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